{"product_id":"joint-training-for-neural-machine-translation-9789813297487","title":"Joint Training for Neural Machine Translation","description":"\u003cp\u003eThis book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":53590437429527,"sku":null,"price":5639.05,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9789813297487.jpg?v=1782732915","url":"https:\/\/payment.letskitaboo.com\/products\/joint-training-for-neural-machine-translation-9789813297487","provider":"Kitaboo One eStore","version":"1.0","type":"link"}